Wei Qian

About me

Wei is a fourth-year PhD student in the Operations Research Department at Cornell University. She is very fortunate to be supervised by Yudong Chen. Before grad school, she finished her BS and MS in mathematics at the University of Michigan, Ann Arnor.

Research

She has a broad interest in machine learning and data-driven decision making. The central questions are: (1) How to choose the right model and what is the efficiency of a model? and (2) How to design good algorithms assisting the decision making process? She is working towards these problems using tools from both probabilistic/statistical modeling and optimization.

Industrial Experience

She spent the summer of 2017, working as a research intern in the Data Science team at Etsy. During the research, she proposed an ads bidding and allocation model for the internal Ads platform. "Joint Revenue Optimization for Promoted Product Listings in E-Commerce" submitted

She spent the summer of 2014 at the Insitute of Pure and Applied Mathematics, UCLA. She was a member of an undergrad research team and collaborated with Google, LA to assess the machine translation model for foreign text classification.